The Synack Red Team (SRT) gives the most talented cybersecurity researchers across the globe a platform to do what they love and get paid for it. As a private network of highly-curated and vetted security penetration testers, the SRT is challenged every day to deliver vulnerability intelligence for some of the biggest brands in the world. SRT members work when they want, where they want--remotely and either part time or full time.
Please Read To Ensure Proper Application Review:
ONLY Apply using your Legal Name
Please make sure any certifications / presentations / CVEs / social profiles you provide in below are publicly verifiable. (see below)
Job titles should include descriptions with detailed responsibilities
Requirements:
Applicants must be able to pass an ID and background check to join the Synack Red Team.
Applicants may not be a resident of or located in a country or region against which the United States has issued export sanctions, payment or other trade restrictions (e.g., Cuba, North Korea, Syria, Iran and Crimea)
Applicants may not be employees or contractors of crowdsourced security/ bug bounty companies.
Synack is committed to embracing diversity. Our people are our strength. Each addition to our team is an opportunity to grow and diversify our ideas, experiences, and viewpoints. We strive to be inclusive of Race, Ethnicity, Religion, Sex, LGBTQ+, Veterans, Disabilities, and Age. Synack welcomes you!
Below you will be asked to complete a voluntary self-identification survey. The survey is 100% optional. We understand the gender limitations of the government issued form and if you do not identify with either selection, we have provided a question below to capture all those applicants who identify as women, trans, non-binary and others who identify as a gender minority. By answering 'Yes' to your interest in the the Artemis Red Team (ART), a sub-community within the Synack Red Team for all SRT women, trans, non-binary and others who identify as a gender minority we are able to capture and create an inclusive approach to gathering gender identities.